This Redpaper introduces the integration between two IBM products that you might like to consider when implementing a modern agile solution on your Z systems. The document briefly introduces Operational Decision Manager on z/OS and Machine learning on z/OS. In the case of Machine Learning we focus on the aspect of real-time scoring models and how these can be used with Business Rules to give better decisions.

Note: Important changes since this document was written:

This document was written for an older release of Operational Decision Manager for z/OS (ODM for z/OS). ODM for z/OS 8.9.1 required the writing of custom Java code to access a Watson Machine Learning for z/OS Scoring Service (this can be seen in ). Since that time ODM for z/OS version 8.10.1 has been released and much improves the integration experience. Integrating the two products no longer requires custom Java code. Using ODM for z/OS 8.10.1 or later you can use an automated wizard in the ODM tooling to:

• Browse and select a model from Watson Machine Learning

• Import the Machine Learning data model into your rule project
• Automatically generate a template rule that integrates a call to the Watson Machine Learning scoring service

Download and read this document for:

• Individual introductions to ODM for z/OS and Machine learning

• Discussions on the benefits of using the two technologies together
• Information on integrating if you have not yet updated to ODM for z/OS 8.10.1

For information about the machine learning integration in ODM for z/OS 8.10.1 see IBM Watson Machine Learning for z/OS integration topic in the ODM for z/OS 8.10.x Knowledge Center

These topics are covered:

[<ul><li>]The need for a solution

[<li>]Operational Decision Manager for z/OS for Business Rules

[<li>]Machine Learning for z/OS for real-time scoring

[<li>]Scoring for smarter decisions: ODM & ML integration

[<li>]Bringing it together

[<li>]Integration example with ODM on z/OS calling ML on z/OS

[<li>]ODM and Scoring Decisions

[</ul>]